Your agent needs context. Your application needs data. Walrus Console connects the two. Here's a quick tutorial on how to wire Walrus Console into Cursor using MCP so your agent can read and write files directly in your workflow: Try Walrus Console: walrus.xyz/products/walrus-c…

DATA is taking a big step with Sui. 250M+ receipts already recorded on Trace, a $30M investment from @SuiNetwork Foundation, and now the move to bring the @datafdn Network natively to Sui. That’s a lot happening at once. I like that this goes beyond just putting AI and blockchain in the same sentence. Rights cleared training data, verifiable provenance, and storage through @WalrusProtocol give this integration a clear purpose. Now it comes down to execution. How well will these pieces work together, and what will the ecosystem build on top of them? $DATA on Sui is definitely worth watching. #DATAonSuiQuest

Data provenance is becoming essential for AI. Combining verifiable records with decentralized storage could make AI data more trustworthy and traceable.

FIRSTIME WINNING BUG BOUNTY THANKYOU SO MUCH @WalrusProtocol AND SHIFU @cryptocymol LETS FUCKING GOOOOO

The Total Recall Hackathon is still live through November 10. Build across 3 tracks, wire Walrus Memory on Mainnet, and compete for $4,500 in prizes. All builders welcome. Details below in @tatum_io's post. 👇

Perceptron x Walrus Two infrastructure layers, one standard: enterprise data should come with proof of where it came from. @WalrusProtocol is the data platform built for the demands of AI. Every dataset on Walrus gets a verifiable identifier and immutable history, held across a decentralized network that stays available even if up to a third of its nodes fail. @PerceptronNTWK operates the acquisition layer on top: a network of 800,000+ nodes worldwide, turning live, ground-level data into structured signal for enterprises, funds and AI teams. Perceptron is bringing its enterprise data suite onto Walrus. A decentralized acquisition layer needs a decentralized storage layer, and every buyer can verify nothing changed after collection. Walrus will also power our upcoming Data Questing Platform and data marketplace. Live signal. Verifiable provenance. Join the network: perceptrons.xyz

#Sui is gonna be the place where most agents and people will transact. everything we showed at basecamp is just a preview of that future

The SuiCat Website Contest is closed. Thank you to everyone who registered a .epoch name with $SUICAT and built a site on @WalrusProtocol for it. We are reviewing the entries together with the @Suicatdotsui team, and the winners will be announced within 24 hours. Missed this one? The October Template Contest is still open until October 25: 2,500,000 $EPT for the three best landing page templates. contest.epochsui.com

I changed my mind about SUI... | Adeniyi Abiodun Full Interview

Most chatbots forget you the second the chat ends. You tell them your goals, your excuses, what works for you. Next time? Blank slate. "How can I help you today?" So I built Anchor a Telegram bot that holds you to your word, and actually remembers you. @WalrusProtocol Here's how it works: ✅ You make a promise "I'll send my CV to 2 companies by 6pm today" ✅ Anchor remembers it Saved as encrypted memory on @WalrusProtocol in your own private space. Not just the promise: your habits, what distracts you, what helps you, when you work best. ✅ Anchor checks in on YOU At 7pm it messages you first: "Did you do it?" ✅ Did it 🟡 Partly ❌ Didn't 📅 Move it One tap. Then it asks what helped, or what got in the way. ✅ It learns you Over time it spots your patterns. "You always skip when you stay up late on your phone." "You actually go when your friend comes with you." And it uses them to help you plan. The difference memory makes (real answers, same AI, same question) 👇 Without memory: "What's your deadline?" With Walrus Memory: "Great job getting that clock build submitted this morning. Since you focus best in the morning, let's lock in a concrete plan." Same AI. One remembers you. And you're always in control: /memory shows everything it knows about you /why shows which memories shaped its answer /compare shows the answer with and without memory /forget makes it forget something Built with Gemini + Walrus Memory for Walrus Session 8 #WalrusMemory ✅ Free ✅ No sign-up ✅ No wallet needed Try it now. Tell it one thing you keep putting off 👇 t.me/Anchor_daBot ✅ Live stats: anchor-production-6bb4.up.ra… ✅ Open source: github.com/angelraph/anchor

Another one I just won $150 in @WalrusProtocol Session 8. Still sitting with it. Grateful as hell. Thank you to the Walrus team for running this, for building memory that actually lives outside one chat window, and for picking Anchor. Means a lot. Most chatbots forget you the second the conversation ends. You tell them your goals, the excuses you always make, what actually works for you. Next time you open the chat? Blank slate. “How can I help you today?” I got tired of that. So I built Anchor a Telegram bot that holds you to your word and actually remembers you. Here’s how it works in real life: You make a promise. “I’ll send my CV to 2 companies by 6pm today.” Anchor stores it as encrypted memory on Walrus, in a space that belongs to you. Not just the promise,your habits, what distracts you, what helps you, when you focus best. Then it checks in on *you*. At 7pm it messages first: “Did you do it?” One tap: ✅ Did it · 🟡 Partly · ❌ Didn’t · 📅 Move it Then it asks what helped or what got in the way. Over a few days it starts spotting your patterns. “You always skip when you stay up late on your phone.” “You actually go when your friend comes with you.” And it uses those truths the next time you try to plan. Same AI. One version remembers you. One doesn’t. Without memory: “What’s your deadline?” With Walrus Memory: “Great job getting that clock build submitted this morning. Since you focus best in the morning, let’s lock in a concrete plan.” You’re always in control: /memory — everything it knows about you /why — which memories shaped the last reply /compare — answer with memory vs without /forget — make it drop something Built with Gemini + Walrus Memory for Session 8. Free. No sign-up. No wallet needed. There’s one thing you’ve been putting off. You already know what it is. Open Telegram. Tell Anchor. t.me/Anchor_daBot It will remember. And it will check on you. Live stats: anchor-production-6bb4.up.ra… Thank you again, @WalrusProtocol This one felt real.

Recently saw @amasad's conversation with @rebeccabellan at @TechCrunch. I think he's right about the self-driving company, at least at a high level. But before agents can run consequential workflows in production, we need 2 things. 1. Agents need long-running memory that moves with them. 2. Even more important, we need a way to verify what happened and which agent saw what. Disputes are going to happen.

meet daimon: an ai agent that lives in your telegram. it answers your questions with live web search, drafts replies to your dms for you to approve, and sums up your group chats, all from its own account on sui. powered by @Talus_Labs Talus Protocol 👀 with @WalrusProtocol daimon.run

This partnership really shows how committed @PerceptronNTWK to their project

Verifiability is going to be such a huge use case for @WalrusProtocol. It's going to be super important for a lot of agentic workflows

That’s a big move from Perceptron being part of the node owner on their network 🔥🔥🔥

Exactly It’s a good movement

Perceptron is moving its enterprise data suite to @WalrusProtocol, the storage network built on $SUI. The data network says it runs on 800,000+ user-run nodes. With Walrus, its buyers can verify datasets haven't been altered. suiwire.com/news/perceptron-…

Featured in @Forbes: Walrus Memory. “There was a point in time that we were stopped from accessing Fable and Mythos. And imagine at that time, what do I have to do?” — @kostascrypto 5,000+ agents and 4.5M+ retrievals later, here is why builders are moving to portable, user-keyed memory so switching LLMs doesn't mean starting from zero. Read the full piece by @guneyyildiz: forbes.com/sites/guneyyildiz…